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Zero shot image classification system using an optimized generalized adversarial network

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Abstract

Image attribute classification is the hottest topic in the digital visualization industry. But, predicting the unseen class attributes using neural approaches is very complicated. Hence, zero-shot learning has been introduced along with the neural models. Still, there are issues with classifying the unseen class features because of poor prediction and noisy data. So, the present research article has aimed to design a novel Ant Lion-based Generalized Adversarial Intelligent Network (AL-GAIN) for attributes forecasting from unseen data. Primarily, the database has been filtered in the pre-processing phase. The error-free data is entered into the classification phase to identify and store the present attributes in the trained data. Moreover, the test data was imported, and features were extracted by the novel AL-GAIN. The similarity matching process was performed to find the unseen class attributes. The planned model has been executed in the python environment. Finally, the prediction accuracy has been measured for both seen and unseen data compared with other models and has gained better attributes in forecasting outcomes.

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Authors and Affiliations

  1. Department of Information Technology, Seshadri Rao Gudlavalleru Engineering College, Vijayawada, Andhra Pradesh, 521356, India

    Ch Kavitha

  2. Department of Computer Science and Engineering, Seshadri Rao Gudlavalleru Engineering College, Vijayawada, Andhra Pradesh, 521356, India

    M. Babu Rao

  3. Department of Computer Science and Engineering, Kallam Haranadhareddy Institute of Technology, Guntur, Andhra Pradesh, 522019, India

    B. Srikanth

  4. Department of Computer Science and Engineering, Dhanekula Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, 521139, India

    A. Srinivasa Rao & K. Kranthi Kumar

  5. Department of Computer Science and Engineering, RVR & JC College of Engineering, Chowdavaram, Andhra Pradesh, 522019, India

    A. Sri Nagesh

  6. Department of Information Technology, Vasireddy Venkatadri Institute of Technology, Guntur, India

    K. Kranthi Kumar

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  1. Ch Kavitha
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Correspondence to Ch Kavitha.

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Kavitha, C., Rao, M.B., Srikanth, B. et al. Zero shot image classification system using an optimized generalized adversarial network. Wireless Netw 29, 697–712 (2023). https://doi.org/10.1007/s11276-022-03166-8

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